Performance Evaluation of Software Task Processing Based on Markovian Perfect Debugging Model Lee, Chong-Hyung; Jang, Kyu-Beam; Park, Dong-Ho;
This paper proposes a new model by combining an infinite-server queueing model for multi-task processing software system with a perfect debugging model based on Markov process with two types of faults suggested by Lee et al. (2001). We apply this model for module and integration testing in the testing process. Also, we compute several measure, such as the expected number of tasks whose processes can be completed and the task completion probability are investigated under the proposed model.